diff --git a/UniversalMACD.py b/UniversalMACD.py
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+++ b/UniversalMACD.py
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+# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
+# flake8: noqa: F401
+# isort: skip_file
+# --- Do not remove these libs ---
+import numpy as np
+import pandas as pd
+from pandas import DataFrame
+from datetime import datetime
+from typing import Optional, Union
+
+from freqtrade.strategy import (BooleanParameter, CategoricalParameter, DecimalParameter,
+                                IntParameter, IStrategy, merge_informative_pair)
+
+# --------------------------------
+# Add your lib to import here
+import talib.abstract as ta
+import pandas_ta as pta
+from technical import qtpylib
+
+
+class UniversalMACD(IStrategy):
+    # By: Masoud Azizi (@mablue)
+    # Tradingview Page: https://www.tradingview.com/script/xNEWcB8s-Universal-Moving-Average-Convergence-Divergence/
+
+    # Strategy interface version - allow new iterations of the strategy interface.
+    # Check the documentation or the Sample strategy to get the latest version.
+    INTERFACE_VERSION = 3
+
+    # Optimal timeframe for the strategy.
+    timeframe = '5m'
+
+    # Can this strategy go short?
+    can_short: bool = False
+
+    # $ freqtrade hyperopt -s UniversalMACD --hyperopt-loss SharpeHyperOptLossDaily
+
+    # "max_open_trades": 1,
+    # "stake_currency": "USDT",
+    # "stake_amount": 990,
+    # "dry_run_wallet": 1000,
+    # "trading_mode": "spot",
+    # "XMR/USDT","ATOM/USDT","FTM/USDT","CHR/USDT","BNB/USDT","ALGO/USDT","XEM/USDT","XTZ/USDT","ZEC/USDT","ADA/USDT",
+    # "CHZ/USDT","BTT/USDT","LUNA/USDT","VRA/USDT","KSM/USDT","DASH/USDT","COMP/USDT","CRO/USDT","WAVES/USDT","MKR/USDT",
+    # "DIA/USDT","LINK/USDT","DOT/USDT","YFI/USDT","UNI/USDT","FIL/USDT","AAVE/USDT","KCS/USDT","LTC/USDT","BSV/USDT",
+    # "XLM/USDT","ETC/USDT","ETH/USDT","BTC/USDT","XRP/USDT","TRX/USDT","VET/USDT","NEO/USDT","EOS/USDT","BCH/USDT",
+    # "CRV/USDT","SUSHI/USDT","KLV/USDT","DOGE/USDT","CAKE/USDT","AVAX/USDT","MANA/USDT","SAND/USDT","SHIB/USDT",
+    # "KDA/USDT","ICP/USDT","MATIC/USDT","ELON/USDT","NFT/USDT","ARRR/USDT","NEAR/USDT","CLV/USDT","SOL/USDT","SLP/USDT",
+    # "XPR/USDT","DYDX/USDT","FTT/USDT","KAVA/USDT","XEC/USDT"
+    # "method": "StaticPairList"
+
+    # *16 / 100: 40    trades.
+    # 31 / 9 / 0    Wins / Draws / Losses.
+    # Avg    profit    2.34 %.
+    # Median    profit    3.00 %.
+    # Total    profit    928.95036811    USDT(92.90 %).
+    # Avg    duration    3: 13:00    min.\
+    # Objective: -11.63412
+
+    # Buy hyperspace params:
+    buy_params = {
+        "buy_umacd_max": -0.01176,
+        "buy_umacd_min": -0.01416,
+    }
+
+    # Sell hyperspace params:
+    sell_params = {
+        "sell_umacd_max": -0.02323,
+        "sell_umacd_min": -0.00707,
+    }
+
+    # ROI table:
+    minimal_roi = {
+        "0": 0.213,
+        "27": 0.099,
+        "60": 0.03,
+        "164": 0
+    }
+
+    # Stoploss:
+    stoploss = -0.318
+
+    # Trailing stop:
+    trailing_stop = False  # value loaded from strategy
+    trailing_stop_positive = None  # value loaded from strategy
+    trailing_stop_positive_offset = 0.0  # value loaded from strategy
+    trailing_only_offset_is_reached = False  # value loaded from strategy
+
+    # Number of candles the strategy requires before producing valid signals
+    startup_candle_count: int = 30
+
+    # Strategy parameters
+    buy_umacd_max = DecimalParameter(-0.05, 0.05, decimals=5, default=-0.01176, space="buy")
+    buy_umacd_min = DecimalParameter(-0.05, 0.05, decimals=5, default=-0.01416, space="buy")
+    sell_umacd_max = DecimalParameter(-0.05, 0.05, decimals=5, default=-0.02323, space="sell")
+    sell_umacd_min = DecimalParameter(-0.05, 0.05, decimals=5, default=-0.00707, space="sell")
+
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe['ma12'] = ta.EMA(dataframe, timeperiod=12)
+        dataframe['ma26'] = ta.EMA(dataframe, timeperiod=26)
+        dataframe['umacd'] = (dataframe['ma12'] / dataframe['ma26']) - 1
+
+        print(dataframe['umacd'].min(), dataframe['umacd'].max())
+        return dataframe
+
+    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe.loc[
+            (
+                (dataframe['umacd'].between(self.buy_umacd_min.value, self.buy_umacd_max.value))
+
+            ),
+            'enter_long'] = 1
+
+        return dataframe
+
+    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe.loc[
+            (
+                (dataframe['umacd'].between(self.sell_umacd_min.value, self.sell_umacd_max.value))
+            ),
+            'exit_long'] = 1
+
+        return dataframe